Master of Science - Artificial Intelligence

USW’s new MSc Artificial Intelligence is a conversion course aimed at graduates who would like to broaden their existing knowledge and open up a new career path.

Artificial intelligence (AI) aims to automate the completion of highly complex tasks and increase productivity, as well as use data to get a competitive edge or increase market share. As a result, AI has broad application in a variety of industries from mobile communications and computer security to healthcare, manufacturing, marketing and financial services and is a key growth area for jobs.

AI masters will develop technical training in the fundamentals of artificial intelligence including machine learning techniques; autonomous systems; deep learning and computational intelligence, as well as core skills in data analysis, project management and research.

This AI masters is aimed at graduates with engineering, science, IT, mathematics or business backgrounds who have strong numeracy and IT skills. Students will learn to think logically and creatively, and to communicate effectively, both orally and in writing, for technical and lay audiences.

It is delivered in four major blocks to offer an intensive but focused learning pattern. Students will need to spend a significant amount of time working independently, reading and preparing for assessments. They'll also work on a significant research project of their own choice, where strong independent thinking, critical analysis and project management skills will be important.

Through the Erasmus scheme, students could have the opportunity to attend summer schools in advanced computer vision and machine learning with USW's partners in TEI of Crete, University of Patras, University of Burgundy, Cyprus University of Technology, Polytechnic Institute of Porto and the University of Salento.

Graduates with an MSc Artificial Intelligence will be able to apply for jobs in artificial intelligence, competitive intelligence, business intelligence, threat intelligence, cyber intelligence, computational intelligence, customer intelligence and marketing intelligence. They may also progress on to a computing research degree.